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USING PROBLEM REDUCTION AND INTROSPECTIVE-BASED SEARCH FOR SOKOBAN

机译:利用问题减少和基于内部的索科肯搜索

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The Sokoban game is one of the hardest reference problems in planning. In this paper, we present the application of a general framework to this problem, which constitutes a novel approach to the domain. The main principles are to use a decomposition of the problem and to control the hierarchical search by using introspective reasoning. With this approach, we have been able to reach the efficiency of the best solvers with an inferior development effort, which demonstrates the generality of our framework and the interest of the approach. The types of solved problems also seem to be quite different from the other solvers, which indicates an original approach and the possibility of promising combinations.
机译:索科帕游戏是规划中最艰难的参考问题之一。在本文中,我们介绍了一般框架在这个问题上的应用,这构成了域的新方法。主要原则是使用问题的分解,并使用内省推理来控制分层搜索。通过这种方法,我们能够达到最优质的求解器的效率,具有劣等的开发努力,这表明我们框架的一般性和方法的兴趣。解决问题的类型似乎也与其他求解器完全不同,这表明了原始方法以及有前途的组合的可能性。

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